| 2026 | AAAI | Security Games with Layered Defenses: Adaptive Adversaries and Gittins Indices. | Chun Kai Ling, Jakub Cern, Chin Hui Han, Garud Iyengar, Christian Kroer |
| 2025 | AISTATS | Learning the Pareto Front Using Bootstrapped Observation Samples. | Wonyoung Kim, Garud Iyengar, Assaf Zeevi |
| 2025 | AISTATS | β-th order Acyclicity Derivatives for DAG Learning. | Madhumitha Shridharan, Garud Iyengar |
| 2025 | ICML | Linear Bandits with Partially Observable Features. | Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, Min-hwan Oh |
| 2024 | AISTATS | A Doubly Robust Approach to Sparse Reinforcement Learning. | Wonyoung Kim, Garud Iyengar, Assaf Zeevi |
| 2024 | IJCAI | Layered Graph Security Games. | Jakub Cern, Chun Kai Ling, Christian Kroer, Garud Iyengar |
| 2023 | AISTATS | Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation. | Garud Iyengar, Henry Lam, Tianyu Wang |
| 2023 | ICML | Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback. | Wonyoung Kim, Garud Iyengar, Assaf Zeevi |
| 2023 | ICML | Causal Bounds in Quasi-Markovian Graphs. | Madhumitha Shridharan, Garud Iyengar |
| 2022 | ICML | Scalable Computation of Causal Bounds. | Madhumitha Shridharan, Garud Iyengar |
| 2021 | AAAI | Multinomial Logit Contextual Bandits: Provable Optimality and Practicality. | Min-hwan Oh, Garud Iyengar |
| 2021 | ICML | Sparsity-Agnostic Lasso Bandit. | Min-hwan Oh, Garud Iyengar, Assaf Zeevi |
| 2019 | KDD | Sequential Anomaly Detection using Inverse Reinforcement Learning. | Min-hwan Oh, Garud Iyengar |
| 2019 | WWW | Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. | Omar Besbes, Antoine Dsir, Vineet Goyal, Garud Iyengar, Raghav Singal |
| 2017 | AISTATS | Linear Convergence of Stochastic Frank Wolfe Variants. | Donald Goldfarb, Garud Iyengar, Chaoxu Zhou |
| 2016 | WAFR | On the Distinction between Active and Passive Reaction in Grasp Stability Analysis. | Maximilian Haas-Heger, Garud Iyengar, Matei T. Ciocarlie |
| 2015 | ICML | An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization. | Necdet S. Aybat, Zi Wang, Garud Iyengar |
| 2005 | IPCO | Approximation Algorithms for Semidefinite Packing Problems with Applications to Maxcut and Graph Coloring. | Garud Iyengar, David J. Phillips, Clifford Stein |
| 2004 | STOC | Solving fractional packing problems in | Daniel Bienstock, Garud Iyengar |
| 2001 | IPCO | Cutting Planes for Mixed 0-1 Semidefinite Programs. | Garud Iyengar, Mehmet Tolga ezik |